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Tropic Skincare are an award-winning vegan and cruelty-free skincare brand. The company use ‘green science’ to produce innovative natural products, which are manufactured in the UK using sustainable ingredients. Their focus on ethics and high-quality has achieved recognition from Marie Claire, Women’s Health and The Sunday Times.
To meet the demands of a changing consumer and technology landscape, Tropic Skincare wanted to leverage the power, scalability and flexibility of the public cloud. The company wanted to do this with a redesigned sales platform in the cloud, with scope to add further services in the future. To allow for this, they required a new cloud environment built to best practices and operated within an appropriate governance framework.
Chris Payne, IT Manager, Tropic Skincare
Bytes AWS held a workshop to gather the high-level requirements needed for creating a cloud environment and landing zone in AWS. They designed and implemented the landing zone, before deploying the infrastructure and services required to support the new sales platform, which featured:
For enhanced backup and disaster recovery, Bytes also deployed Druva Cloud Data Protection. This leading-edge solution protects data in the cloud, datacentres and endpoints, with governance features to support data analysis. It will enable Tropic Skincare to recover their data from loss, disaster, accidental deletion or ransomware attacks. To help the company get the most from their new technology, Bytes AWS also provided ongoing managed services in the form of monthly technical support.
Thanks to Bytes AWS, Tropic Skincare now have a scalable cloud solution to meet the needs of a growing client base, with the flexibility to add additional functionality to cloud workloads and meet evolving business requirements. Druva Cloud Data Protection and Bytes’ managed service provide extra support, protecting the company’s data and helping them to innovate safely.
Tropic Skincare now have full control over the software development lifecycle, being able to build and test containers locally, before seamlessly pushing to a new CI/CD pipeline. This ability to develop and test quicker will help them meet increased demand, with the ability to scale automatically to match the current load - whether that's end-of-month sales activity or seasonal peaks and troughs.